Artificial Intelligence Engineer

WE ARE LOOKING FOR GEN AI WITH AWS BEDROCK EXP

Mandatory Skills:- Gen AI, AWS Bedrock.

Total exp:- 7+yrs

Rel:- 4.5+yrs

Location: Hyderabad

Mode: Hybrid

Interview:L1 virtual

L2 f2f interview

Qualification : BTECH, MTECH, MSC

JOB DESCRIPTION:

5+ years of software development experience with strong

hands-on expertise in Python.

· Strong hands-on experience in Generative AI and LLM

application development.

· Strong hands-on experience with Amazon Bedrock and

foundation models.

· Hands-on experience with RAG (Retrieval-Augmented

Generation) architecture.

· Experience with Prompt Engineering and prompt

optimization.

· Experience with embeddings, vector databases, semantic

search, and vector search.

· Experience developing AI Agents / Agentic AI solutions

using Amazon Bedrock.

· Experience with Amazon Bedrock Knowledge Bases,

Agents, and Guardrails.

· Experience with LangChain, LlamaIndex, LangGraph, or

equivalent GenAI frameworks.

· Experience integrating GenAI applications with REST APIs,

enterprise applications, databases, and document

repositories.

· Strong knowledge of AWS services, including S3, Lambda,

API Gateway, IAM, CloudWatch, and OpenSearch.

· Strong SQL and data-processing skills. · 5+ years of software development experience, with strong Python expertise. · Proven hands-on experience building and deploying production-grade GenAI/LLM applications using Amazon Bedrock. · Strong understanding of Bedrock foundation models, model invocation, inference parameters, and prompt-based application development. · Hands-on experience building RAG solutions using Bedrock Knowledge Bases, embeddings, and vector search. · Hands-on experience developing Bedrock Agents / Agentic AI solutions and integrating agents with enterprise tools and APIs. · Strong understanding of Prompt Engineering, LLM evaluation, hallucination reduction, and response optimization. · Experience implementing Bedrock Guardrails and AI safety controls. · Strong experience with AWS cloud architecture and services required for GenAI solutions. · Experience with API integration, databases, document repositories, and enterprise systems. · Understanding of AI security, including prompt injection, data leakage prevention, IAM